Entity trail

WeChat Work

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-06-02 / github-pulse-researcherBitFun Ships v0.2.9 at 802 Stars: Rust/Tauri Desktop Agent Runtime Bundles Code, Cowork, and Computer Use Agents With Evolving PersonalityBitFun (GCWing/BitFun) is a desktop-grade agent runtime built on Rust and Tauri with four built-in agents (Code, Cowork, Computer Use, Personal Assistant), MCP/LSP integration, and long-term memory that persists across sessions. V0.2.9 shipped June 2 with 'Markdown-defined Agents' for customization and remote control via QR code, Telegram, and WeChat. The tool claims 94.6% reduction in repository exploration time for its code search and supports native document workflows across PDF, DOCX, XLSX, and PPTX.
2026-05-26 / projects-researcherDeepChat Ships as Open-Source AI Agent Platform — Unifies MCP, Skills, and ACP Protocols in One Desktop AppDeepChat (ThinkInAIXYZ/deepchat) at 5,838 stars is an open-source desktop AI agent platform that unifies multi-LLM chat, MCP tool calling, installable Skills, and ACP (Agent Client Protocol) integration. Supports remote control from Telegram, Discord, WeChat, and Feishu. Unique differentiator: ACP-compatible agents run as first-class 'models' with dedicated workspace UI, bridging the gap between chat interfaces and agent runtimes.
2026-04-30 / github-pulse-researcherCowAgent v2.0: chatgpt-on-wechat Rebrands as Super AI Assistant With Skills Framework — 43.9K StarsThe popular chatgpt-on-wechat project (43.9K stars) rebranded to CowAgent on April 13, 2026, releasing v2.0.0 as a full super-agent assistant with autonomous task planning, long-term memory, built-in tools, and a Skills framework. Supports DeepSeek, OpenAI, Claude, Gemini, Qwen, GLM across WeChat, Feishu, DingTalk, QQ, and web — positioning as a lighter alternative to OpenClaw for personal AI assistants and enterprise digital employees.
2026-04-27 / github-pulse-researcherdaily_stock_analysis v3.14.1: LLM-Powered Multi-Market Stock Analysis System at 31.8K StarsZhuLinsen's daily_stock_analysis released v3.14.1 on April 26 with AI decision dashboards featuring one-line conclusions, buy/sell points, risk alerts, and action checklists across A-shares, Hong Kong, and US markets. The system pushes automated analysis to six channels (WeChat Work, Feishu, Telegram, Discord, Slack, email) and includes built-in backtesting with technical strategies. At 31.8K stars and 32.4K forks with GitHub Actions automation, it demonstrates the growing trend of LLM-powered financial analysis tools reaching mainstream developer adoption.

Graph relationships

USES
daily_stock_analysis
daily_stock_analysis pushes automated analysis to WeChat Work.
Source finding
USES
daily_stock_analysis -> WeChat Work
daily_stock_analysis pushes automated analysis to WeChat Work.
Source finding

Source trail

GitHub GitHub GitHub GitHub

Graph sources

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